Zhen Zhang

A More Efficient Reduction from Outlier-Aware to Outlier-Free k-Median AAAI 2026 Truth as a Trajectory: What Internal Representations Reveal About Large Language Model Reasoning ACL 2026 KnowLCP: Knowledge Augmented Lane Change Prediction for Autonomous Driving AAAI 2026 Detecting Knowledge Boundary of Vision Large Language Models by Sampling-Based Inference EMNLP 2025 PathwiseRAG: Multi-Dimensional Exploration and Integration Framework EMNLP 2025 Minimax Optimal Two-Stage Algorithm For Moment Estimation Under Covariate Shift ICLR 2025 MaZO: Masked Zeroth-Order Optimization for Multi-Task Fine-Tuning of Large Language Models EMNLP 2025 Analytic DAG Constraints for Differentiable DAG Learning ICLR 2025 New Algorithms for the Learning-Augmented k-means Problem ICLR 2025 Fairness-Aware vCDR-Controlled Generation for Glaucoma Diagnosis MICCAI 2025 Learning Cascade Ranking as One Network ICML 2025 Dual-View Interaction-Aware Lane Change Prediction for Autonomous Driving AAAI 2025 Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning Agent ICLR 2025 Bias-Resilient Weakly Supervised Semantic Segmentation Using Normalizing Flows ICCV 2025 Split-and-Combine: Enhancing Style Augmentation for Single Domain Generalization ICCV 2025 Causal Disentanglement and Cross-Modal Alignment for Enhanced Few-Shot Learning ICCV 2025 KBM: Delineating Knowledge Boundary for Adaptive Retrieval in Large Language Models EMNLP 2025 Parameterized Approximation Schemes for Fair-Range Clustering NIPS 2024 Multi-Chain Graphs of Graphs: A New Approach to Analyzing Blockchain Datasets NIPS 2024 Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation NIPS 2024 Rethinking Propagation for Unsupervised Graph Domain Adaptation AAAI 2024 Towards a Theoretical Understanding of Why Local Search Works for Clustering with Fair-Center Representation AAAI 2024 Coreference Graph Guidance for Mind-Map Generation AAAI 2024 Distillation Enhanced Generative Retrieval ACL 2024 Modalities Should Be Appropriately Leveraged: Uncertainty Guidance for Multimodal Chinese Spelling Correction COLING 2024 CLAP: Isolating Content from Style through Contrastive Learning with Augmented Prompts ECCV 2024 Identifiable Latent Polynomial Causal Models through the Lens of Change ICLR 2024 EX-Graph: A Pioneering Dataset Bridging Ethereum and X ICLR 2024 Advancing the Robustness of Large Language Models through Self-Denoised Smoothing NAACL 2024 DISTMM: Accelerating Distributed Multimodal Model Training NSDI 2024 Lexical Translation Inconsistency-Aware Document-Level Translation Repair ACL 2023 E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition ACL 2023 RECAL: Sample-Relation Guided Confidence Calibration over Tabular Data EMNLP 2023 Parameter-Efficient Cross-lingual Transfer of Vision and Language Models via Translation-based Alignment EMNLP 2023 Factor Graph Neural Networks JMLR 2023 Towards a Unified Framework for Reference Retrieval and Related Work Generation EMNLP 2023 Live Graph Lab: Towards Open, Dynamic and Real Transaction Graphs with NFT NIPS 2023 Uncertainty-Aware Unlikelihood Learning Improves Generative Aspect Sentiment Quad Prediction ACL 2023 Only a Few Classes Confusing: Pixel-Wise Candidate Labels Disambiguation for Foggy Scene Understanding AAAI 2023 RADE: Reference-Assisted Dialogue Evaluation for Open-Domain Dialogue ACL 2023 OpenDelta: A Plug-and-play Library for Parameter-efficient Adaptation of Pre-trained Models ACL 2023 Learning Spatial-Preserved Skeleton Representations for Few-Shot Action Recognition ECCV 2022 HwTscSU’s Submissions on WAT 2022 Shared Task COLING 2022 Sparse Structure Search for Delta Tuning NIPS 2022 Truncated Matrix Power Iteration for Differentiable DAG Learning NIPS 2022 PCEE-BERT: Accelerating BERT Inference via Patient and Confident Early Exiting NAACL 2022 Multiplicative Gaussian Particle Filter AISTATS 2020 PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications OSDI 2020 Visual Relationship Detection with Low Rank Non-Negative Tensor Decomposition AAAI 2020 Factor Graph Neural Networks NIPS 2020 KerGM: Kernelized Graph Matching NIPS 2019 Deep Graphical Feature Learning for the Feature Matching Problem ICCV 2019 Character-Aware Sub-Word Level Language Modeling for Uyghur and Turkish ASR INTERSPEECH 2019 RetGK: Graph Kernels based on Return Probabilities of Random Walks NIPS 2018 Aligning Infinite-Dimensional Covariance Matrices in Reproducing Kernel Hilbert Spaces for Domain Adaptation CVPR 2018 Convolutional Sequence to Sequence Model for Human Dynamics CVPR 2018 ANRL: Attributed Network Representation Learning via Deep Neural Networks IJCAI 2018 Depth and Image Restoration From Light Field in a Scattering Medium ICCV 2017 Dynamic Programming Bipartite Belief Propagation For Hyper Graph Matching IJCAI 2017 Pairwise Matching Through Max-Weight Bipartite Belief Propagation CVPR 2016 Joint Probabilistic Matching Using m-Best Solutions CVPR 2016 Learning Graph Structure for Multi-Label Image Classification via Clique Generation CVPR 2015 Joint Probabilistic Data Association Revisited ICCV 2015